Distributed channel selection for wireless networks

ABSTRACT

Wireless networking devices scan for available channels and gather data about the channels and the RF environment. Using this information, each wireless networking device determines a cost value for each available channel and a quality value for its overall RF neighborhood. Each wireless networking device select the channel with the best cost value as a candidate channel for use. The wireless networking devices may submit channel requests to the arbiter for approval. If two or more wireless networking devices are requesting the same channel, the arbiter assigns the channel to the wireless networking device with the worst RF neighborhood quality. The arbiter informs the wireless networking devices if their channel requests are approved. If a wireless networking device&#39;s channel request is not approved, the wireless networking device will rescan the remaining available channels to select a different candidate channel to be approved.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. patent application Ser. No. 15/634,986, filed Jun. 27, 2017, now U.S. Pat. No. 10,390,353, which is a continuation of U.S. patent application Ser. No. 14/663,028, filed Mar. 19, 2015, now U.S. Pat. No. 9,814,055, which is a continuation of U.S. patent application Ser. No. 12/877,048, filed Sep. 7, 2010, now U.S. Pat. No. 9,002,277, all of which are incorporated herein by reference.

BACKGROUND OF THE INVENTION

The invention relates to the field of wireless networking devices and specifically to systems and methods of configuring wireless networking devices to operate in close proximity to each other. Many organizations provide wireless networks to their users and/or the general public. Often, multiple wireless networking devices, such as wireless access points, are required to provide effective wireless network access to users over large physical area. For example, there may be large numbers of wireless access points operating together to provide wireless network access within one or more buildings, a campus, or even neighborhoods and cities.

Typically, wireless networking devices such as wireless access points communicate using one or more RF channels. As the physical density of wireless access points increases, interference between multiple wireless networking devices using the same or overlapping channels becomes more likely. As a result of channel interference from both other wireless network devices as well as other sources of radio interference, the network performance for users decreases.

One way to mitigate channel interference is to assign neighboring wireless networking devices to different or non-overlapping channels. Prior approaches have typically operated in a centralized manner or a distributed manner. Centralized approaches gather data from most or all of the wireless networking devices and use this complete view of the wireless network to determine a satisfactory assignment of channels to the wireless networking devices. The downsides of this approach are the need for a central entity to collect data from all of the networking devices, process network data, and determine channel assignments.

Distributed approaches to channel assignment rely on wireless networking devices to select an optimal channel for itself or to negotiate channel assignments between themselves. However, the former approach results in a sub-optimal channel assignment over the entire network and the latter approach requires the exchange of numerous messages between wireless networking devices. Additionally, this approach may take a long time to converge to a stable channel assignment. Furthermore, small changes in the RF environment may lead to a ripple effect, causing channel assignment changes across the entire wireless network.

BRIEF DESCRIPTION OF THE DRAWINGS

The invention will be described with reference to the drawings, in which:

FIG. 1 illustrates an example wireless network channel assignment;

FIG. 2 illustrates a method of assigning channels to wireless networking devices according to an embodiment of the invention; and

FIG. 3 illustrates a computer system suitable for implementing all or a portion of embodiments of the invention.

BRIEF SUMMARY OF THE INVENTION

An embodiment of the invention assigns channels to wireless networking devices using a distributed technique that requires very little data to be exchanged between wireless networking devices. Additionally, an embodiment of the invention converges quickly to a stable channel assignment. In an embodiment, wireless networking devices scan for available channels and gather data about the channels and the RF environment. Using this information, each wireless networking device determines a cost value for each available channel and a quality value for its overall RF neighborhood. In an embodiment, each wireless networking device select the channel with the best cost value as a candidate channel for use. An arbiter is then used to resolve conflicts between wireless networking devices that have selected the same candidate channels.

If there is a device acting as arbiter, the wireless networking devices submit channel requests to the arbiter for approval. If two or more wireless networking devices are requesting the same channel at approximately the same time, in an embodiment of the invention, the arbiter assigns the channel to the wireless networking device with the worst RF neighborhood quality. The arbiter informs the wireless networking devices if their channel requests are approved. If a wireless networking device's channel request is not approved, the wireless networking device will rescan the remaining available channels to select a different candidate channel to be approved.

In an embodiment, if there is no arbiter device, a wireless networking device will listen for other networking devices using its desired candidate channel. If there are other networking devices using the same desired candidate channel, in an embodiment of the invention, the conflicting wireless networking devices exchange RF neighborhood quality information. Using this information, the wireless networking devices will yield the channel to the wireless networking device with the worst RF neighborhood quality.

DETAILED DESCRIPTION

FIG. 1 illustrates an example of a wireless network 100 and its channel assignments. Wireless network 100 is comprised of multiple wireless access points and/or other wireless networking device 105 capable of providing wireless network connections to client devices, such as desktop, portable, and server computer systems; tablet computer systems; smartphones or other handheld devices; and/or other devices capable of using wireless network connections to communicate.

Example wireless network 100 includes wireless access points 105A, 105B, 105C, 105D, 105E, 105F, 105G, 105H, 1051, 1051, 105K, 105L, 105M, 105N, 1050, 105P, and 105Q. However, embodiments of the invention may be utilized in wireless networks including any arbitrary number of wireless access points and/or other wireless networking devices 105. In example wireless network 100, the wireless access points 105 may use any wireless networking technology and protocol known in the art, including one or more of the IEEE 802.11 family of wireless networking standards, Zigbee and the 802.15.4 wireless networking standard, Femtocell cellular networking using CDMA, GSM, WiMAX, LTE, and/or other cellular networking standards.

Although omitted from FIG. 1 for clarity, the wireless networking devices 105 may be connected with one or more local-area networks or wide-area networks via wired or wireless network connections. The local-area network and/or wide-area network may include network devices such as network hubs, network switches, network routers, multi-function network gateways, and software and/or hardware firewalls. In an embodiment, wireless network 100 may also include one or more wireless access point managers that control the configuration of the wireless access points 105. Wireless access point manager may facilitate the deployment of network policies, software and firmware upgrades, and configurations to wireless access points 105 and may monitor network usage by client devices via the wireless access points.

Example wireless network 100 includes three different wireless channels. Each channel is indicated by different shading in FIG. 1. As shown in FIG. 1, channels are assigned to wireless access points 105 to maximize the distance between different wireless access points using the same channel and thus minimize radio interference. Although example wireless network 100 uses three different wireless channels, embodiments of the invention may use any arbitrary number of channels, depending upon factors including as the total number of channels available in the wireless networking technology, channels in use by other devices outside of the control of the wireless network, and environmental RF interference with one or more of the available channels. For example, the IEEE 802.11 big standards has a total of 14 available channels; however only 11 of these channels are typically available in the United States. Additionally, the adjacent channels of these standards overlap, so that often there are only 3 or 4 non-overlapping channels available.

As discussed above, an embodiment of the invention uses a distributed technique for determining channel assignments in wireless networks with multiple wireless access points or other wireless networking devices. FIG. 2 illustrates a method 200 of assigning channels to wireless networking devices according to an embodiment of the invention. In embodiments of the invention, wireless networking devices such as a wireless access points each perform separate instances of method 200 independently of each other during their respective initializations.

In step 205, a wireless networking device scans all of the available wireless networking channels to identify any neighboring wireless access points and gather data about each wireless networking channel. Embodiments of the invention may scan available channels sequentially or randomly. In an embodiment, step 205 determines whether each channel is in use, and if so, the number of detected wireless access points using a given channel. An embodiment of step 205 may also measure quantitative attributes of each channel, including the user load, RF interference, transmission, reception, and/or total channel utilization; the noise floor; the PHY error rate; the TX or RX frame drop rate; the TX/RX bit rate usage and/or success distribution; the CRC error rate for each channel; and/or, if the channel is used by any detected neighboring wireless access points, the received signal strength indication (RSSI) or signal to noise ratio for each neighboring wireless access point using a given channel. An embodiment of step 205 may further determine qualitative attributes of each channel, including whether the channel overlaps with any other channel in use, whether the channel uses dynamic frequency selection (DFS), and/or whether the channel is being used indoors or outdoors.

Step 210 determines the quality of the RF neighborhood of the wireless networking device based on the data gathered in step 205. In an embodiment, the RF neighborhood quality is based on the average received signal strength of neighboring wireless networking devices. This may be determined by averaging the RSSI data for each channel, and then determining the average of this value over all of the available channels. Another embodiment of step 210 may use the lowest RSSI value of all the neighboring networking devices as a measure of RF neighborhood quality. Alternative embodiments of step 210 may incorporate other factors described above, such as RF interference or the number of neighboring wireless access points. In general, more neighboring wireless networking devices and/or stronger signals from neighboring wireless networking devices or other RF sources reduce the quality of the RF neighborhood.

Step 215 determines cost values for each of the available channels based on the data gathered in step 205. In an embodiment, step 215 determines the cost values using a cost function that takes into account some or all of the above-described. Embodiments of the invention may use any type of cost function known in the art to determine one or more cost values for each available channel. In an embodiment, the cost function of step 215 assigns an initial cost value to an available channel and then adds or subtracts from this initial cost value based on one or more of the above described factors. In another embodiment, step 215 determines a weighted sum of two or more of the above described factors. In still another embodiment, step 215 determines cost values based on the application of one or more Boolean operations on a parameter vector, where the parameter vector is based on the data gathered in step 205.

In still a further embodiment, the cost function of step 215 uses values derived from the measured or determined values of the above described factors, as opposed to the measured values themselves. For example, an embodiment of step 215 may assign each factor a positive or negative score or point value based on its measured value. Different score or point values may be assigned based on whether the measured value of the factor falls within a particular range of values or above or below one or more threshold values. For example, if a channel utilization of a channel is less than 10%, it may be assigned a point value of zero within the cost function. If the channel utilization of this channel is between 10% and 20%, this factor may be assigned a point value of −10 in the cost function.

An example cost function may be:

${{Cost} = {\frac{\left( {1000 - P_{i}} \right)}{(N)} + C_{adj} + C_{{overlap}\;} + C_{power}}},$ where N is the number of wireless access points or other wireless detected networking devices using the channel, C_adj is an addition or deduction of points based on a measurement of interference from neighboring wireless networking devices, C_overlap is an addition or deduction of points based on whether the channel overlaps with any other channel in use, and C_power is an addition or deduction of points based on whether there is a maximum power limit for the channel, for example due to FCC or other regulatory requirements.

Step 220 selects the channel with the best cost value as a candidate channel for use by this wireless networking device. Depending on the specific form of the cost function, the best cost value may either be the lowest cost value or the highest cost value.

Step 225 determines if there is at least one networking device designated as a arbiter that is accessible to the wireless networking device. In an embodiment, one or more of the wireless access points may be designated as an arbiter. A networking device acting as an arbiter is used to reduce or prevent channel conflicts from wireless networking devices using the same channels. In an embodiment, a networking device is manually selected as an arbiter by a network administrator. In another embodiment, a networking device is automatically assigned to act as an arbiter by the wireless networking devices within each other's RF coverage area. In yet another embodiment, a networking device is automatically assigned to act as an arbiter by the wireless networking devices that share the same backhaul network connection, such as an Ethernet network or switching network. In general, the wireless networking devices within each others RF range should use the same arbiter. For example, one networking device in a building may be designated as an arbiter.

If there is no networking device designated as an arbiter, method 200 proceeds to step 230. In step 230, the wireless networking device enters a listening mode and determines if there are any other warless networking devices using the selected candidate channel. If there are no other wireless networking devices using the candidate channel, method 200 proceeds to step 240 and selects the candidate channel for use by the wireless networking device.

Conversely, if step 230 determines that one or more other wireless networking devices are using the selected candidate channel, method 200 proceeds to step 235. In step 235, the wireless networking device exchanges messages with one or more other wireless networking devices using the selected candidate channel to determine which of these devices has the lowest quality RF neighborhood, based on the RF neighborhood quality measurement determined in step 210. If step 235 determines that the wireless networking device has the lowest RF neighborhood quality as compared with its neighboring wireless networking devices on the same channel, then method 200 proceeds to step 240 and the wireless network device is allowed to use the selected candidate channel. All of the other neighboring wireless networking devices will yield this selected candidate channel to the wireless networking device, since they have received messages from the wireless networking device indicating that this wireless networking device has a lower RF neighborhood quality. In the event of a tie between two or more wireless networking devices with the same RF neighborhood quality, the channel may be assigned to one of the tied wireless networking devices based on arbitrary criteria or attributes, such as the MAC addresses of the wireless networking devices.

If step 235 determines that the wireless networking device does not have the lowest RF neighborhood quality, method 200 proceeds back to step 205 to rescan for available channels. In an embodiment, the wireless networking device maintains a list of channels assigned to other wireless networking devices in previous iterations of method 200, so that these channels can be skipped during rescanning. This decreases the amount of time required for rescanning and hence decreases the convergence time to assign channels to all of the wireless networking devices. The wireless networking device may repeat steps 205 through 255 any arbitrary number of times until it finds a channel to use.

Returning to step 225, if the wireless networking device detects at least one networking device acting as an arbiter, method 200 proceeds to step 245. Step 245 sends a channel request message to the arbiter. In an embodiment, the channel request message identifies the selected candidate channel. In a further embodiment, the channel request message includes additional data such as the neighborhood quality measurement and/or the wireless network devices cost value for the selected candidate channel.

In an embodiment, the networking device acting as the arbiter receives channel request messages from one or more wireless networking devices requesting a given channel, and decides which of these wireless networking devices should be assigned to requested channel. In an embodiment, the arbiter compares the RF neighborhood quality measurements received with each channel request message associated with a given channel and grants the requested channel to the wireless networking device with the lowest quality RF neighborhood. In another embodiment, the arbiter compares the channel cost values of a given candidate channel from each wireless networking device requesting this channel and grants the requested candidate channel to the wireless networking device with the highest channel cost value.

In the event of a tie between two or more wireless networking devices, the arbiter may arbitrarily assign the channel to one of the tied networking devices. In other embodiments, the arbiter may use each wireless networking device's cost value associated with the requested channel to determine the channel assignment. In a further embodiment, because the wireless networking devices perform separate instances of method 200 in parallel but asynchronously, an arbiter may wait for a time period, such as 15 seconds, after receiving the first request for any given channel to allow time for other wireless networking devices to request. The arbiter then assigns the requested channel to one of the wireless networking devices that sent a request during this time period, such as the wireless networking device with the worst RF neighborhood quality.

In response to one or more channel request messages, the arbiter assigns the requested channel to one of the requesting wireless networking devices. The arbiter then sends a channel approval message to the wireless networking device assigned to the requested channel and optionally sends channel denied messages to the other wireless networking devices that had requested this channel at approximately the same time.

In step 250, the wireless networking device determines if it has received a channel approval message from the arbiter for the selected candidate channel. If so, then method 200 proceeds to step 255, which selects the candidate channel for use by the wireless networking device.

Conversely, if the wireless networking device determines in step 250 that it has received a channel denied message or no response message at all from the arbiter, then method 200 proceeds back to step 205 to rescan for available channels and select a different candidate channel. The wireless networking device may repeat steps 205 through 255 any arbitrary number of times until it finds a channel to use.

In some situations, the RF environment and channel utilization associated with the wireless network may change due to the introduction of interference. In an embodiment, each wireless networking device monitors the RF environment associated with the channel it is using. If one or more parameters of the RF environment change substantially, the wireless networking device may drop its current channel and repeat method 200 to select a different channel. For example, if the interference utilization and/or the CRC error rate of a channel increase above absolute or relative thresholds, the wireless networking device drops its current channel and repeats method 200 to select a different channel.

In a further embodiment, the channel assignment process for all of the wireless networking devices in the wireless network may be repeated at regular intervals, such as during scheduled downtime. This allows the channel assignments to be determined from a clean initial state based on the current network configuration and RF environment. Often scheduled downtime may be during off-hours, such as late at night, so that users are not disrupted. However, the RF environment during off-hours may not be the same as that during normal operating hours. To produce channel assignments that more accurately reflect the RF environment during normal operating hours, yet a further embodiment of the invention records RF environment information during normal operating hours. During scheduled downtime, this embodiment of the invention performs method 200 as described above, but using the previously recorded RF environment information, rather than information about the current off-hour RF environment.

As discussed above, the wireless networking devices 105 in FIG. 1 may be connected with one or more local-area networks or wide-area networks via wired or wireless network connections. The wired or wireless network connections between the wireless networking devices and the one or more local-area networks or wide-area networks are referred to as backhaul network connections. If the backhaul network connection of one or more wireless networking devices 105 is a wireless network connection, an embodiment of the invention may use a modified version of method 200 to select the channel for the backhaul network connection. In this embodiment of method 200, step 205 scans the available channels to identify if there is an existing mesh channel as well as to determine the neighboring wireless networking devices and channel data. Steps 210 through 220 are performed as described above. If a mesh channel is found, then the wireless networking device joins the mesh channel. If there is no current mesh channel, then the wireless networking device selects the channel with the best cost value as the mesh channel.

In a further embodiment the cost function used to select a candidate channel may be specified via a management interface. Additionally, the management interface may be used to display statistics about the wireless network and the wireless networking devices, such as the values of cost function and/or the factors contributing to the cost function.

FIG. 3 illustrates a computer system 2000 suitable for implementing all or a portion of embodiments of the invention. FIG. 3 is a block diagram of a computer system 2000, such as a personal computer or other digital device, suitable for practicing an embodiment of the invention. Embodiments of computer system 2000 include dedicated networking devices, such as wireless access points, network switches, hubs, routers, hardware firewalls, network traffic optimizers and accelerators, network attached storage devices, and combinations thereof.

Computer system 2000 includes a central processing unit (CPU) 2005 for running software applications and optionally an operating system. CPU 2005 may be comprised of one or more processing cores. Memory 2010 stores applications and data for use by the CPU 2005. Examples of memory 2010 include dynamic and static random access memory. Storage 2015 provides non-volatile storage for applications and data and may include fixed or removable hard disk drives, flash memory devices, ROM memory, and CD-ROM, DVD-ROM, Blu-ray, HD-DVD, or other magnetic, optical, or solid state storage devices. Memory 2010 may store a firmware image comprising applications and data adapted to be executed by computer system 2000.

Optional user input devices 2020 communicate user inputs from one or more users to the computer system 2000, examples of which may include keyboards, mice, joysticks, digitizer tablets, touch pads, touch screens, still or video cameras, and/or microphones. In an embodiment, user input devices may be omitted and computer system 2000 may present a user interface to a user over a network, for example using a web page or network management protocol and network management software applications.

Computer system 2000 includes one or more network interfaces 2025 that allow computer system 2000 to communicate with other computer systems via an electronic communications network, and may include wired or wireless communication over local area networks and wide area networks such as the Internet. Computer system 2000 may support a variety of networking protocols at one or more levels of abstraction. For example, computer system may support networking protocols at one or more layers of the seven layer OSI network model. An embodiment of network interface 2025 includes one or more wireless network interfaces adapted to communicate with wireless clients and with other wireless networking devices using radio waves, for example using the 802.11 family of protocols, such as 802.11a, 802.11b, 802.11g, and 802.11n.

An embodiment of the computer system 2000 may also include a wired networking interface, such as one or more Ethernet connections to communicate with other networking devices via local or wide-area networks. In a further embodiment, computer system 2000 may be capable of receiving some or all of its required electrical power via the network interface 2025, for example using a wired networking interface power over Ethernet system.

The components of computer system 2000, including CPU 2005, memory 2010, data storage 2015, user input devices 2020, and network interface 2025 are connected via one or more data buses 2060. Additionally, some or all of the components of computer system 2000, including CPU 2005, memory 2010, data storage 2015, user input devices 2020, and network interface 2025 may be integrated together into one or more integrated circuits or integrated circuit packages. Furthermore, some or all of the components of computer system 2000 may be implemented as application specific integrated circuits (ASICS) and/or programmable logic.

A power supply 2030 provides electrical power to the computer system 2000. Power supply 2030 may be adapted to draw electrical power from a connection with an electrical power distribution grid. In an embodiment, power supply 2030 is connected with network interface 2025 to draw electrical power for computer system 2000 from one or more wired network connections using a network power standard, such as IEEE 802.3af.

Although embodiments of the invention are discussed with reference to the IEEE 802.11 standard, embodiments of the invention are equally applicable to other standard and proprietary wireless network protocols. Additionally, embodiments of the invention are not limited to 802.11 wireless network connections and may be utilized for any type of communication network where a network connection between a client wireless network device and a wireless network device is required.

Further embodiments can be envisioned to one of ordinary skill in the art from the specification and figures. In other embodiments, combinations or sub-combinations of the above disclosed invention can be advantageously made. The block diagrams of the architecture and flow charts are grouped for ease of understanding. However, it should be understood that combinations of blocks, additions of new blocks, re-arrangement of blocks, and the like are contemplated in alternative embodiments of the present invention. The specification and drawings are, accordingly, to be regarded in an illustrative rather than a restrictive sense. It will, however, be evident that various modifications and changes may be made thereunto without departing from the broader spirit and scope of the invention as set forth in the claims. 

The invention claimed is:
 1. A method comprising: scanning available wireless network channels to identify channel data of the available wireless network channels; determining cost values for the available wireless network channels based on a cost function of at least one attribute of the available wireless network channels from the channel data; identifying a wireless network channel of the available wireless network channels with a lowest cost value; identifying a wireless network device with a worst radio frequency (RF) neighborhood quality, the wireless network device being one of a plurality of neighboring wireless network devices; yielding, by each wireless network device of the plurality of neighboring wireless network devices not identified as the wireless network device with the worst RF neighborhood quality, use of the wireless network channel with the lowest cost value to the wireless network device with the worst RF neighborhood quality.
 2. The method of claim 1, wherein the channel data of the available wireless network channels includes one or a combination of user load, RF interference, transmission utilization, reception utilization, total channel utilization, a noise floor, a PHY error rate, a transmission frame drop rate, a reception frame drop rate, transmission bit rate usage, reception bit rate usage, a cyclic redundancy check (CRC) error rate, a number of wireless network devices using the channel, received signal strength indication (RSSI) for wireless network devices using the channel, and signal to noise ratio for wireless network devices using the channel.
 3. The method of claim 1, wherein the at least one attribute of the available wireless network channels includes one or a combination of the available wireless network channels overlapping with another wireless network channel in use, the available wireless network channels using dynamic frequency selection, and the available wireless network channels being used indoors or outdoors.
 4. The method of claim 1, further comprising: assigning scores to the at least one attribute of the available wireless network channels based on measured values of the at least one attribute of the available wireless network channels; determining the cost values for the available wireless network channels based on the scores assigned to the at least one attribute of the available wireless network channels.
 5. The method of claim 1, further comprising: assigning scores to the at least one attribute of the available wireless network channels based on whether measured values of the at least one attribute of the available wireless network channels fall within a range of values of the at least one attribute of the available wireless network channels; determining the cost values for the available wireless network channels based on the scores assigned to the at least one attribute of the available wireless network channels.
 6. The method of claim 1, wherein the cost function includes assigning an initial cost value to the available wireless network channels and adding or subtracting from the initial cost value based on the at least one attribute of the available wireless network channels.
 7. The method of claim 1, wherein the cost function comprises ${Cost} = {\frac{\left( {1000 - P_{i}} \right)}{(N)} + C_{adj} + C_{{overlap}\;} + C_{power}}$ where N is a number of wireless network devices using a channel, C_(adj) is an addition or deduction of points based on a measurement of interference from neighboring wireless network devices, C_(overlap) is an addition or deduction of points based on whether the channel overlaps with any other channel in use, and C_(power) is an addition or deduction of points based on whether there is a maximum power limit for the channel.
 8. The method of claim 1, wherein the cost value is based on an application of one or more Boolean operations on a parameter vector, the parameter vector being based on the channel data.
 9. The method of claim 1, wherein the at least one attribute is from a plurality of attributes and the cost value is a weighted sum of the plurality of attributes of the available wireless network channels.
 10. The method of claim 1, wherein the cost function is received via a management interface.
 11. A system comprising: a plurality of neighboring wireless network devices configured to: scan available wireless network channels to identify channel data of the available wireless network channels; determine cost values for the available wireless network channels based on a cost function of at least one attribute of the available wireless network channels from the channel data; identify a wireless network channel of the available wireless network channels with a lowest cost value; identify a wireless network device of the plurality of neighboring network devices with a worst radio frequency (RF) neighborhood quality; yield, by each wireless network device of the plurality of neighboring wireless network devices not identified as the wireless network device with the worst RF neighborhood quality, use of the wireless network channel with the lowest cost value to the wireless network device with the worst RF neighborhood quality.
 12. The system of claim 11, wherein the channel data of the available wireless network channels includes one or a combination of user load, RF interference, transmission utilization, reception utilization, total channel utilization, a noise floor, a PHY error rate, a transmission frame drop rate, a reception frame drop rate, transmission bit rate usage, reception bit rate usage, a cyclic redundancy check (CRC) error rate, a number of wireless network devices using the channel, received signal strength indication (RSSI) for wireless network devices using the channel, and signal to noise ratio for wireless network devices using the channel.
 13. The system of claim 11, wherein the at least one attribute of the available wireless network channels includes one or a combination of the available wireless network channels overlapping with another wireless network channel in use, the available wireless network channels using dynamic frequency selection, and the available wireless network channels being used indoors or outdoors.
 14. The system of claim 11, wherein the plurality of neighboring wireless network devices are further configured to: assign scores to the at least one attribute of the available wireless network channels based on measured values of the at least one attribute of the available wireless network channels; determine the cost values for the available wireless network channels based on the scores assigned to the at least one attribute of the available wireless network channels.
 15. The system of claim 11, wherein the plurality of neighboring wireless network devices are further configured to: assign scores to the at least one attribute of the available wireless network channels based on whether measured values of the at least one attribute of the available wireless network channels fall within a range of values of the at least one attribute of the available wireless network channels; determine the cost values for the available wireless network channels based on the scores assigned to the at least one attribute of the available wireless network channels.
 16. The system of claim 11, wherein the cost function includes assigning an initial cost value to the available wireless network channels and adding or subtracting from the initial cost value based on the at least one attribute of the available wireless network channels.
 17. The system of claim 11, wherein the cost function comprises ${Cost} = {\frac{\left( {1000 - P_{i}} \right)}{(N)} + C_{adj} + C_{{overlap}\;} + C_{power}}$ where N is a number of wireless network devices using a channel, C_(adj) is an addition or deduction of points based on a measurement of interference from neighboring wireless network devices, C_(overlap) is an addition or deduction of points based on whether the channel overlaps with any other channel in use, and C_(power) is an addition or deduction of points based on whether there is a maximum power limit for the channel.
 18. The system of claim 11, wherein the cost value is based on an application of one or more Boolean operations on a parameter vector, the parameter vector being based on the channel data.
 19. The system of claim 11, wherein the at least one attribute is from a plurality of attributes and the cost value is a weighted sum of the plurality of attributes of the available wireless network channels.
 20. The system of claim 11, wherein the cost function is received via a management interface. 